An efficient fire detection algorithm based on multi‐scale convolutional neural network-Reference-Cited by-同舟云学术

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An efficient fire detection algorithm based on multi‐scale convolutional neural network

Published:2021-12-14 Issue: Volume: Page:
ISSN:0308-0501
Container-title:Fire and Materials
language:en
Short-container-title:Fire and Materials

Author:

Cheng Yanying¹^ORCID,Chen Ke¹,Bai Hui¹,Mou Chunjie¹,Zhang Yuchun¹,Yang Kai²,Gao Yunji¹,Liu Yu¹

Affiliation:

1. Faculty of Geoscience and Environmental Engineering Southwest Jiaotong University Chengdu China

2. Key Laboratory of Transportation Tunnel Engineering Ministry of Education, Southwest Jiaotong University Chengdu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Metals and Alloys,Polymers and Plastics,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fam.3045

Reference31 articles.

1. Design fire curves for tunnels

2. Compartment Fires

3. A new curve for temperature-time relationship in compartment fire

4. Experimental study of compartment fire development and ejected flame thermal behavior for a large-scale light timber frame construction

5. Fire detection for video surveillance applications using ICAK‐medoids‐based color model and efficient spatio‐temporal visual features;Hashemzadeh M;Expert Syst Appl,2019

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